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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
Dokumentu skaits: 766
FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
Dokumentu skaits: 340
QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Quantopian lekcijas
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Binance API docs
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FMZ guides
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pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
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FinRL
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Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

The document describes using genetic programming to discover stock-selection factors from intraday price and volume data. Factor expressions are represented as trees; successive candidate populations are produced through selection, crossover, and mutation.…

AkcijasMašīnmācīšanāsStatistikaFaktoru ieguldīšana
SuperMind

The post describes a Chinese equity screen combining three conditions: membership in the metaverse industry, positive institutional flow, and a same-day bullish candlestick pattern named after the stock Kute Intelligent. It presents the pattern as a possible…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

This document outlines a stock screen that combines MACD above its zero line, upward-dispersing moving averages, and seven consecutive declining sessions. It interprets positive MACD and rising averages as technical trend conditions, while the sequence of…

AkcijasTehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtības
SuperMind

This document describes a stock selection screen that combines RSI below 65, a rising 30-day moving average, and a condition described as today’s increase in position share exceeding 5%. The accompanying explanation presents the moving average as a trend…

AkcijasTehniskie indikatoriCenas impulssVēsturisko datu pārbaude
SuperMind

The document outlines a Chinese equity screen that selects stocks associated with the metaverse theme, filters for a positive institutional-flow measure, and keeps daily percentage changes between −5% and 2.6%. It presents the combination as a way to find…

AkcijasĶīnas tirgiCenas impulssRiska pārvaldība
SuperMind

This Chinese stock-selection post proposes screening for shares with MACD above its zero line, three consecutive down days, and a 20-day moving average above the 120-day average. The combination is presented as a way to find stocks in a broader rising trend…

Ķīnas tirgiAkcijasTehniskie indikatoriSekošana tendencei
SuperMind

The proposed stock screen selects shares with a rising 30-day moving average, an RSI below 65, and a rising MACD signal line (DEA). The intended logic combines a trend filter with momentum indicators and is presented as a way to find stocks whose current…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese stock-screening note selects companies classified in the metaverse concept, then filters for an upward-moving 30-day average and an opening gap between roughly -2% and 5% relative to the previous close. The examples express the concept…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection note combines market activity, float size, listing code, relative strength, and profitability filters. Its initial screen looks for Shanghai-listed shares with turnover between 3% and 12% and circulating share capital no greater than 5.5…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a short-term A-share screening idea that combines a positive MACD reading, positive trailing P/E, exclusion of special-treatment stocks, and five consecutive recent limit-up conditions. It proposes selecting stocks before 10 a.m. and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock-selection idea screens for Chinese equities associated with the metaverse, positive institutional-flow readings, and a rising K value in the KDJ indicator. The article also sketches an implementation using market data: identify candidate stocks,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document proposes a Chinese stock screen that requires daily price range above one percent, a three-session close-price pattern labeled as an engulfing or reversal formation, and a newly triggered KDJ crossover. It presents the combination as a way to…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This document describes a Chinese equity screening rule that combines a technical filter with a revenue-growth condition. It selects stocks with a 14-period RSI below 65, excludes a market segment identified in the source, and requires revenue growth over…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock screen combines three conditions: a daily high-to-low range above 1% of the prior close, an opening price within 5% of the 10-day moving average, and a positive return below 35% over a 10-day lookback. The post presents the conditions as a way to…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

The document proposes a Chinese stock screening rule that selects shares with a daily high-low range above one percent, a newly formed KDJ crossover, and at least two limit-up events within the prior 500 trading days. It interprets the range as a volatility…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This note proposes screening stocks using three recent trading conditions: daily price amplitude above a threshold, no limit-up session on the prior day, and prior-day turnover above a threshold. The rationale is to favor stocks with movement and trading…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This note describes an A-share screening rule that combines a turnover range, a market-cap ceiling, and a profitability filter. It then applies a second turnover band and, in a sample formula, limits the universe to mainland exchange main boards and stocks…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document presents a stock screening approach that combines a momentum indicator, reported earnings growth, and a short-term MACD signal. Its revised version selects stocks with RSI below 65, parent-company net profit growth above 20% and no more than…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This stock selection rule screens for shares with turnover between 3% and 12%, a daily gain above 1% relative to stocks in the same sector, and a 30-day moving average that is rising. It combines trading activity, recent relative price strength, and a…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This daily, after-close stock screen requires MACD to be above zero and the closing price to fall between the Bollinger middle and upper bands. It also says to rank qualifying shares by individual-stock popularity, although the provided examples do not…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule looks for shares with amplitude above 1, more than one year since listing, and a rising KDJ K value. The article interprets amplitude as a sign of active price movement, the listing-age filter as a way to avoid very new shares, and…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share stock screen combines three conditions: daily amplitude above 1, prior-day actual turnover between 3% and 28%, and the product of percentage price change and estimated net large-order flow above 1. The article describes the idea as…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock screen selects shares with price amplitude above 1, a listing history longer than one year, and turnover between 2% and 9%. The post frames amplitude and turnover as measures of trading activity and listing age as a simple stability filter. It…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika